Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.

Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.

Every day, torrents of data inundate IT organizations and overwhelm
the business managers who must sift through it all to
glean insights that help them grow revenues and optimize
profits. Yet, after investing hundreds of millions of dollars into
new enterprise resource planning (ERP), customer relationship
management (CRM), master data management systems (MDM),
business intelligence (BI) data warehousing systems or big data
environments, many companies are still plagued with disconnected,
“dysfunctional” data—a massive, expensive sprawl of
disparate silos and unconnected, redundant systems that fail to
deliver the desired single view of the business.
To meet the business imperative for enterprise integration and
stay competitive, companies must manage the increasing variety,
volume and velocity of new data pouring into their systems from
an ever-expanding number of sources. They need to bring all
their corporate data together, deliver it to end users as quickly as
possible to maximize

Location has become paramount to building new apps, services, experiences and business models. If data is the new oil, then location is the crude oil. This is why most of the top location platform players have been developing technologies to power next-generation autonomous mobility systems. And the “richness” of location data and real-time intelligence are becoming strong monetization opportunities.
The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors, including Google, TomTom and Mapbox. Learn why the HERE Open Location Platform – described as super-rich, always up-to-date, and a neutral offering – is a leader in the location data arena.

Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.

This book is written for readers who have varying levels of
familiarity with ODM. It doesn’t focus on any particular vendor’s
offering; instead, it talks about the features of ODM as a
model for managing operational decision-making.
This book isn’t about offline business intelligence systems.
While those systems are very valuable, the focus of this book
is on automated decisions that can be executed in real time in
conjunction with your business applications and processes.

Every day, torrents of data inundate IT organizations and overwhelm
the business managers who must sift through it all to
glean insights that help them grow revenues and optimize
profits. Yet, after investing hundreds of millions of dollars into
new enterprise resource planning (ERP), customer relationship
management (CRM), master data management systems (MDM),
business intelligence (BI) data warehousing systems or big data
environments, many companies are still plagued with disconnected,
“dysfunctional” data—a massive, expensive sprawl of
disparate silos and unconnected, redundant systems that fail to
deliver the desired single view of the business.
To meet the business imperative for enterprise integration and
stay competitive, companies must manage the increasing variety,
volume and velocity of new data pouring into their systems from
an ever-expanding number of sources. They need to bring all
their corporate data together, deliver it to end users as quickly as
possible to maximize

Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be

We will go over a brief introduction of what workforce analytics is, and take a look at why it is sometimes so difficult to get the information we need out of our HR or Business Intelligence systems. We will also dive into the important metrics we should consider as HR professionals and what metrics will ultimately drive your business forward.

47 business outcome studies were conducted for clients across multiple industries for the 2011 Business Outcomes Studies Report. It demonstrates the value of online talent measurement solutions against metrics specific to the goals of each organization.

This whitepaper provides an overview of Oracle's capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems integrate information and scale to analyze data.

The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.

IBM Cognos BI offers complete perspectives on business intelligence and analytics through a single, unified workspace. Read the white paper and see how Power Systems runs Cognos BI applications-on distributed or consolidated servers-for greater business value as well as improved availability, virtualization, performance and energy efficiency.

As it has been the trend over the last decade, organizations must continue to deal with growing data storage requirements with the same or less resources. The growing adoption of storage-as-a-service, business intelligence, and big data results in ever more Service Level Agreements that are difficult to fulfill without IT administrators spending ever longer hours in the data center. Many organizations now expect their capital expense growth for storage to be unstoppable, and see operating expense levers - such as purchasing storage systems that are easy to manage - as the only way to control data storage-related costs.

Many companies have business intelligence (BI) tools and infrastructure that serve their business’ needs; however, certain functional departments, business units, or key business initiatives often don’t yet have the BI tools that they need in place. There is a new approach to BI to address those pressing business needs that leverages the existing BI infrastructure and can deliver value to the business in weeks rather than months and at a fraction of the cost of a traditional BI solution. Learn how Complementary BI leverages Software-as-a-Service (SaaS) BI solutions to address targeted business needs in a way that complements in-house BI systems, leading to a win-win situation for business users and IT analytical tools to business users.

This white paper provides insights into the current threat landscape for the financial services industry. Information is based on cyber security event data collected by IBM, as well as data derived from responding to, and performing forensics on, cyber security incidents.

This white paper offers a brief overview of how organizations can best use social data by implementing a framework to integrate social data with other enterprise and public or curated data. This framework provides a platform for uncovering new insights that can be fed into business intelligence and customer experience management systems in near real-time to help marketing, sales, service, and commerce teams accelerate decision-making and create long-term, profitable customer relationships.

Read this white paper by Don Tapscott and explore the criteria best-in-class hospitals use for selecting business intelligence solutions. Companies that learn to effectively harness the information generated by their IT systems will enjoy substantial productivity improvements.

Read this white paper by Don Tapscott and explore the criteria best-in-class retailers use for selecting business intelligence solutions. Companies that effectively harness the vast quantities of information that IT systems generate - both within the corporation and outside its walls - are poised to gain competitive advantage.

Organizations of all sizes across nearly every industry sector are facing unprecedented macro-market forces that are driving them to seek new business intelligence (BI) tools to achieve their corporate objectives. Traditional BI systems generally require dedicated staff to generate meaningful analysis, but the analysis is still difficult to share. As a result, many departmental managers and end users have relied on simple spreadsheets, which require significant manual effort and provide limited insight.

Credit Union Times

Credit Union Times is the nation's leading independent source for breaking news and analysis for credit union leaders. For more than 20 years, Credit Union Times has set the standard for editorial excellence and ethical, straight-forward reporting.